Jimin Jung, Jihyun Lee, Hyemin Noh

KIPS Transactions on Software and Data Engineering, Vol. 11, No. 9, pp. 355-362, Sep. 2022
https://doi.org/10.3745/KTSDE.2022.11.9.355,   PDF Download:
Keywords: precision agriculture, Smart Farm, Growth Data Analysis, Data Analysis-as-a-Web-Service
Abstract

Smart Farm, which combines information and communication technologies with agriculture is moving from simple monitoring of the growth environment toward discovering the optimal environment for crop growth and in the form of self-regulating agriculture. To this end, it is important to collect related data, but it is more important for farmers with cultivation know-how to analyze the collected data from various perspectives and derive useful information for regulating the crop growth environment. In this study, we developed a web service that allows farmers who want to obtain necessary information with data related to crop growth to easily analyze data. Web-based data analysis serivice developed uses R language for data analysis and Express web application framework for Node.js. As a result of applying the developed data analysis service together with the growth environment monitoring system in operation, we could perform data analysis what we want just by uploading a CSV file or by entering raw data directly. We confirmed that a service provider could provid various data analysis services easily and could add a new data analysis service by newly adding R script.

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